flusight: interactive visualizations for infectious disease forecasts-Reference-Cited by-同舟云学术

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flusight: interactive visualizations for infectious disease forecasts

Published:2017-05-10 Issue:13 Volume:2 Page:231
ISSN:2475-9066
Container-title:The Journal of Open Source Software
language:
Short-container-title:JOSS

Author:

Tushar Abhinav^ORCID,G Reich Nicholas^ORCID

Publisher

The Open Journal

Link

http://www.theoj.org/joss-papers/joss.00231/10.21105.joss.00231.pdf

Reference3 articles.

1. Advancing Epidemic Prediction and Forecasting: A New US Government Initiative

2. Bostock, Mike, d3: Data-Driven Documents, 2016, https://github.com/d3/d3, 2017-01-11

3. undefx, delphi-epidata: Documentation and sample code for DELPHI’s epidemiological data API., 2016, https://github.com/cmu-delphi/delphi-epidata, 2017-01-11

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1. Weekly Forecasting of Yellow Fever Occurrence and Incidence via Eco‐Meteorological Dynamics;GeoHealth;2023-10

2. The Zoltar forecast archive, a tool to standardize and store interdisciplinary prediction research;Scientific Data;2021-02-11

3. A Quantitative Evaluation of COVID-19 Epidemiological Models;2021-02-08

4. Exploration and Visualization of the Hidden Information from the Congestive Heart Failure Patients Data in MIMIC-III Database;Data Intelligence and Cognitive Informatics;2021

5. EpiViewer: an epidemiological application for exploring time series data;BMC Bioinformatics;2018-11-22

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